2021
DOI: 10.1029/2021jd035730
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Large‐Scale Afforestation Over the Loess Plateau in China Contributes to the Local Warming Trend

Abstract: Land cover change (LCC) is an important perturbation to the global and regional climate, and can alter the climate conditions through both biogeochemical and biogeophysical processes (

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Cited by 20 publications
(12 citation statements)
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References 70 publications
(114 reference statements)
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“…Our finding confirms the intensification of the global water cycle as the Earth gets warmer (Markonis et al., 2019). The upward trend of temperature over LP was more than twice as high as that over the global land area (Tian et al., 2022). Global warming causes more water from the land surface to be transported to the atmosphere (Huntington et al., 2018; Nogueira, 2019), given the Clausius‐Clapeyron relationship between atmospheric moisture and temperature.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Our finding confirms the intensification of the global water cycle as the Earth gets warmer (Markonis et al., 2019). The upward trend of temperature over LP was more than twice as high as that over the global land area (Tian et al., 2022). Global warming causes more water from the land surface to be transported to the atmosphere (Huntington et al., 2018; Nogueira, 2019), given the Clausius‐Clapeyron relationship between atmospheric moisture and temperature.…”
Section: Discussionmentioning
confidence: 99%
“…The regional climate of the LP has experienced warming (0.04°C yr −1 ) and wetting trends (4.48 mm yr −1 ; Li et al., 2019; Tian et al., 2022). Climate change can affect the atmospheric moisture inflow and outflow and atmospheric conditions of precipitation generation over land (Tuinenburg & Staal, 2020).…”
Section: Introductionmentioning
confidence: 99%
“…This data set combines MODIS daily data, monthly data, and meteorological station data to eliminate the missing and low‐quality MODIS values by co‐locating in situ observations, geographically weighted regression method, and regression of the elevation–temperature gradient. The reconstructed LST remote sensing data set has been widely used to analyze the spatiotemporal variations of LST (Amantai & Ding, 2021; Tang et al., 2022) and validate the performance of regional climate model (Tian, Zhang, Wang, et al., 2022; Zhang et al., 2022) due to its high quality. Hereafter, we refer to this data set as merged MODIS.…”
Section: Materials Data and Methodsmentioning
confidence: 99%
“…GVF and LAI play a key role in partitioning canopy transpiration and soil evaporation, and albedo is important in determining the energy distribution at the land surface (Ingwersen et al., 2011; Yin et al., 2016). Previous studies have demonstrated that such default surface data unrealistically represents the actual vegetation conditions in the APENC (Tian et al., 2022; X. Wang et al., 2020; B. Zhang et al., 2021). Thus, we first updated the default land use and land cover map, LAI, albedo, and GVF in the WRF‐tagging model using satellite observations.…”
Section: Methods and Data Setsmentioning
confidence: 99%
“…The above-used datasets have been suggested in representing the actual dynamic vegetation changes over the APENC by B Zhang et al (2021). andTian et al (2022).…”
mentioning
confidence: 99%